Dumsani, yt handles fluid fields just fine, and is used for many AMR hydro codes.  There is not a frontend in yt for Cactus as best as I can see, so one would need to be written.  There are some docs up online:

http://yt-project.org/docs/dev/developing/creating_frontend.html

and some of the frontends use HDF5, so you should be able to copy from one of those.  

On Wed, Dec 10, 2014 at 12:23 PM, Dumsani Ndzinisa <g14n8326@campus.ru.ac.za> wrote:
    Hi All,
    I have just learned about yt for large data visualization and analysis.
    It looks like such a wonderful package for getting things done in a
    quicker and very high quality kind of manner.
    Hence, I wish to employ the package to work with data from an
    outputting code called Carpet(http://www.carpetcode.org) built on
    top of another code called Cactus (for computational astrophysics
    simulations, e.g. merging black holes or neutron stars). Carpet
    also performs some adaptive mesh refinement in Cactus, as well
    as parallelization tasks (along with handling the I/O tasks). All these
    (cactus and Carpet) are part of a community-based code known
    as the Einstein Toolkit.
    Usually, one would be interested in creating some array of
    color-map snap-shots of 2D (2 spatial dimensions, plus the
    actual physical quantity) quantities from the resulting
    simulation data. Sometimes, such snap-shots could be
    meant to compare a certain quantity from various simulations.
    My general impression so far, however, is that the package
    seems be oriented towards systems that involve 'particles',
    like galaxies or similar bodies. Would it support the kind of
    data I'm working with (the 2D/3D scalars on refined grids,
    vectors, etc)? Or, would I need to try and extend yt to
    read/load my kind of data? Two output formats are possible
    from my simulations: HDF5 (CarpetIOHDF5, an adaptation of
    standard HDF5), and ASCII formats. I would prefer advice on
    the use of HDF5 though.
        Your advice will be highly appreciated.
        Kind regards
    Dumsani

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Michael Zingale
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